title: Compression of the CT images using classified energy and pattern blocks.
abstract: In this work, a new biomedical image compression method is proposed based on the classified energy and pattern blocks (CEPB). CEPB based compression method is specifically applied on the Computed Tomography (CT) images and the evaluation results are presented. Essentially, the CEPB is uniquely designed and structured codebook which is located on the both the transmitter and receiver part of a communication system in order to implement encoding and decoding processes. The encoding parameters are block scaling coefficient (BSC) and the index numbers of energy (IE) and pattern blocks (IP) determined for each block of the input images based on the CEPB. The evaluation results show that the newly proposed method provides considerable image compression ratios and image quality.
authors.forename: Inci Zaim
authors.initials: IZ
authors.lastname: Gokbay
authors.forename: Murat
authors.initials: M
authors.lastname: Gezer
authors.forename: Umit
authors.initials: U
authors.lastname: Guz
authors.forename: Hakan
authors.initials: H
authors.lastname: Gurkan
authors.forename: B S
authors.initials: BS
authors.lastname: Yarman
mesh_terms: D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D006801:Humans; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D012984:Software; D017216:Telemedicine; D014057:Tomography, X-Ray Computed / Q000379:methods*